Graph-based semi-supervised learning for spectral-spatial hyperspectral image classification
Pattern Recognition Letters, Volume 83, 2016, Pages 133-142.
Spectral and spatial regularized semi-supervised learning is investigated for classification of hyperspectral images. In spectral regularizer, sum of minimum distance (SMD) is introduced to determine graph adjacency relationships and local manifold learning (LML) is employed for edge weighting. The resulted SMD_LML regularizer is able to ...More
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